Assessment of Temperature Correction Factors for Falling Weight Deflectometer Deflections
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2026-01-16
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Edition:Final Report
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Abstract:This study presents the development of an improved temperature correction methodology for falling weight deflectometer (FWD) deflections in full-depth asphalt pavements. The objective was to address the limitations of existing correction methods by integrating viscoelastic pavement behavior, structural properties, and realistic thermal gradients. Field temperature data from instrumented sites in Indiana were used to train a machine learning model capable of predicting pavement temperature profiles in flexible pavements. These predictions informed a series of finite element simulations that captured pavement responses to FWD loading under a range of thermal and structural conditions. Temperature correction factors were then derived and modeled using a unified sigmoidal function, whose parameters depend solely on asphalt thickness, subgrade stiffness, and effective pavement temperature. For full-depth asphalt pavements, the temperatures at the surface–base interface and quarter-depth were found to be the most accurate representations of the effective pavement temperature for use in the proposed deflection correction methodology. Field validation demonstrated that the proposed methodology consistently outperformed the traditional AASHTO 1993 correction approach, offering a more accurate and practical solution for temperature correction in pavement structural evaluation.
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